Fuzzy Relational Equations

[1]  R. P. Dilworth,et al.  Residuated Lattices. , 1938, Proceedings of the National Academy of Sciences of the United States of America.

[2]  W. Pedrycz,et al.  Fuzzy Relation Equations and Their Applications to Knowledge Engineering , 1989, Theory and Decision Library.

[3]  Petr Hájek,et al.  Metamathematics of Fuzzy Logic , 1998, Trends in Logic.

[4]  Vilém Vychodil.  Truth-depressing hedges and BL-logic , 2006, Fuzzy Sets Syst..

[5]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[6]  J. Goguen.  L-fuzzy sets , 1967 .

[7]  Satoko Titani,et al.  Globalization of intui tionistic set theory , 1987, Ann. Pure Appl. Log..

[8]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[9]  Wyllis Bandler,et al.  Fuzzy Relational Products as a Tool for Analysis and Synthesis of the Behaviour of Complex Natural and Artificial Systems , 1980 .

[10]  Stanislav Krajci,et al.  A Generalized Concept Lattice , 2005, Log. J. IGPL.

[11]  Elliott Mendelson,et al.  Introduction to Mathematical Logic , 1979 .

[12]  Ladislav J. Kohout,et al.  Semantics of implication operators and fuzzy relational products , 1980 .

[13]  Ladislav J. Kohout,et al.  Relational-product architectures for information processing , 1985, Inf. Sci..

[14]  Elie Sanchez,et al.  Resolution of Composite Fuzzy Relation Equations , 1976, Inf. Control..

[15]  Petr Hájek.  On very true , 2001, Fuzzy Sets Syst..

[16]  R. Belohlávek.  Fuzzy Relational Systems: Foundations and Principles , 2002 .

[17]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[18]  Vilém Vychodil,et al.  Fuzzy Closure Operators with Truth Stressers , 2005, Log. J. IGPL.

[19]  A. V. Markovskii,et al.  On the relation between equations with max-product composition and the covering problem , 2005, Fuzzy Sets Syst..

[20]  Vilém Vychodil,et al.  Reducing the Size of Fuzzy Concept Lattices by Hedges , 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..